Joyful and Meaningful Learning: Gamifying Data Analysis in EFL Speaking Classes

Authors

  • Aulia Rahman Antasari Islamic State University Banjarmasin, Indonesia

Keywords:

gamification, data analysis, EFL speaking, deep learning, generation Z

Abstract

This study examines student engagement and the development of critical thinking skills within an interactive English language teaching framework through the implementation of a gamified design titled "The Generation Battle" for Senior High School students in Phase E. This approach integrates visual data analysis from Statista regarding E-sports into speaking practice to bridge the gap between Generation Z’s digital literacy and the requirement for evidence-based academic articulation. Utilizing a qualitative descriptive methodology, the research analyzes a learning process structured across five stages of Deep Learning, beginning with deep explanation to accurately interpret bar graphs, strategic preparation of comparative degree sentences, and a joyful interaction phase through a two-round debate simulation. The activity concludes with performance-based assessments and meaningful reflections that connect statistical findings with the students' real-life interpersonal experiences. Results suggest that incorporating competitive elements into data analysis significantly lowers students' affective filters, enhances speaking confidence, and transforms subjective opinions into logical, evidence-based arguments. However, the implementation demands careful classroom management regarding noise levels and requires more flexible time allocation for deeper error correction and individual feedback.

Published

2026-10-11

How to Cite

Aulia Rahman. (2026). Joyful and Meaningful Learning: Gamifying Data Analysis in EFL Speaking Classes. Proceedings of the International Conference GLOBE Forum , 1(1). Retrieved from https://ejournal.uhb.ac.id/index.php/globeforum/article/view/2347

Issue

Section

English Language Education

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